Authors: Tuy, HoangPresents up-to-date research and methodologies in modern global optimizationServes as a reference for a wide swath of the optimization communityEquips readers to handle a mathematically rigorous approach to modern global optimization and its potential applicationsCovers fundamental concepts, theoretical foundations and practical implementation of algorithms

Authors: Qin, ZhongfengPresents a comprehensive and up-to-date guide to uncertain portfolio optimizationCan serve as a valuable reference source for academics, researchers and practitionersProvides an efficient approach to handling risk constraints in general optimization problems

Authors: Özmen, AysePresents new methods of robust optimization to handle uncertainty and non-linearity in complex regulatory networksProvides guidance in the trade-off between accuracy and robustnessExemplifies the new methods in three detailed applications involving financial, energy and environmental systems

Authors: Alves, C., Clautiaux, F., de Carvalho, J.V., Rietz, J.Explains the concept of dual-feasible functions within the general framework of duality, Dantzig-Wolfe decomposition and column generationDetails relevant extensions and applications of dual-feasible functions to different combinatorial optimization problemsProvides a comprehensive set of illustrative examples to clarify the essential concepts, properties, and the main ideas behind recent extensions